Lectures and Recitations
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* (R01, R02) [http://courses.csail.mit.edu/6.006/fall08/source/rec/r02%20-%20maxsumsubarray.py <code>maxsumsubarray.py</code>] | * (R01, R02) [http://courses.csail.mit.edu/6.006/fall08/source/rec/r02%20-%20maxsumsubarray.py <code>maxsumsubarray.py</code>] | ||
* (R06) [[Recitation02 Notes]] | * (R06) [[Recitation02 Notes]] | ||
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=== Binary Search Trees === | === Binary Search Trees === | ||
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* (R01, R02) [http://courses.csail.mit.edu/6.006/fall08/notes/rec04.pdf Rec 04] | * (R01, R02) [http://courses.csail.mit.edu/6.006/fall08/notes/rec04.pdf Rec 04] | ||
* (R06) [[Recitation04 Notes]] | * (R06) [[Recitation04 Notes]] | ||
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=== Hashing === | === Hashing === | ||
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* (R01, R02) [http://courses.csail.mit.edu/6.006/fall08/notes/rec07.pdf Rec 07] | * (R01, R02) [http://courses.csail.mit.edu/6.006/fall08/notes/rec07.pdf Rec 07] | ||
* (R03, R04) [http://courses.csail.mit.edu/6.006/fall08/notes/jayant-r07-problems.pdf Jayant's Problems from Rec 07] | * (R03, R04) [http://courses.csail.mit.edu/6.006/fall08/notes/jayant-r07-problems.pdf Jayant's Problems from Rec 07] | ||
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=== Sorting === | === Sorting === | ||
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==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture11.pdf Lecture 11] : Radix sort ==== | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture11.pdf Lecture 11] : Radix sort ==== | ||
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=== Quiz 1 Review (Recitation 11) === | === Quiz 1 Review (Recitation 11) === | ||
* [http://courses.csail.mit.edu/6.006/fall08/handouts/H07-quiz_review.pdf quiz review handout] | * [http://courses.csail.mit.edu/6.006/fall08/handouts/H07-quiz_review.pdf quiz review handout] | ||
* [http://courses.csail.mit.edu/6.006/fall08/notes/recurrans.pdf recurrences practise] | * [http://courses.csail.mit.edu/6.006/fall08/notes/recurrans.pdf recurrences practise] | ||
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==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture14.pdf Lecture 14] : Graph Searching II : DAGs, topological sort ==== | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture14.pdf Lecture 14] : Graph Searching II : DAGs, topological sort ==== | ||
==== Recitation 14 ==== | ==== Recitation 14 ==== | ||
- | * (R1, R2) notes | + | * (R1, R2) [http://courses.csail.mit.edu/6.006/fall08/notes/rec14.pdf notes] |
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=== Shortest Paths === | === Shortest Paths === | ||
==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture15.pdf Lecture 15] : Intro Shortest Paths : weighted graphs & general structure ==== | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture15.pdf Lecture 15] : Intro Shortest Paths : weighted graphs & general structure ==== | ||
==== Recitation 15 ==== | ==== Recitation 15 ==== | ||
+ | * (R1, R2, R5) [http://courses.csail.mit.edu/6.006/fall08/notes/rec15.pdf notes] | ||
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+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture16.pdf Lecture 16] : Shortest Paths II : Bellman-Ford ==== | ||
+ | ==== Recitation 16 ==== | ||
+ | * (R1, R2) [http://courses.csail.mit.edu/6.006/fall08/notes/rec16.pdf notes] | ||
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+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture17.pdf Lecture 17] : Shortest Paths III : Dijkstra ==== | ||
+ | ==== Recitation 17 ==== | ||
+ | * (R1, R2) [http://courses.csail.mit.edu/6.006/fall08/notes/rec17.pdf notes] | ||
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+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture18.pdf Lecture 18] : Shortest Paths IV : further improvements ==== | ||
+ | * [https://courses.csail.mit.edu/6.006/fall08/handouts/protected/wagner.pdf Wagner paper] | ||
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+ | === Dynamic Programming === | ||
+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture19.pdf Lecture 19] : Dynamic Programming I : Introduction ==== | ||
+ | ==== Recitation 19 : Quiz review ==== | ||
+ | * review packet | ||
+ | * see quiz prep | ||
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+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture20.pdf Lecture 20] : Dynamic Programming II : Longest Common Subsequence ==== | ||
+ | ==== Recitation 20 ==== | ||
+ | * The 0-1 Knapsack problem | ||
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+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture21.pdf Lecture 21] : Dynamic Programming III : Image Resizing, Matrix Chain Multiplication ==== | ||
+ | * [http://www.faculty.idc.ac.il/arik/IMRet-All.mov Video from lecture] (or the [http://www.youtube.com/watch?v=vIFCV2spKtg same video on Youtube]) | ||
+ | * [http://www.faculty.idc.ac.il/arik/papers/imret.pdf Image Resizing Paper] | ||
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+ | ==== Recitation 21 ==== | ||
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+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture22.pdf Lecture 22] : Dynamic Programming IV ==== | ||
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+ | ==== Recitation 22 ==== | ||
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+ | <br/><br/> | ||
+ | === Computability Theory === | ||
+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture23.pdf Lecture 23] : Computability I : Reductions ==== | ||
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+ | ==== Recitation 23 ==== | ||
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+ | <br/><br/> | ||
+ | === Numerics === | ||
+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture24.pdf Lecture 24] : Numerics I : Linear Equations and Least Squares ==== | ||
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+ | ==== Recitation 24 ==== | ||
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+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture25.pdf Lecture 25] : Numerics II : Givens Rotation ==== | ||
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+ | ==== Recitation 25 ==== | ||
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+ | <br/><br/> | ||
+ | === Beyond 6.006 === | ||
+ | ==== [http://courses.csail.mit.edu/6.006/fall08/notes/lecture26.pdf Lecture 26] : Beyond 6.006 ==== | ||
+ | * a.k.a. "Things You Don't Have To Know For The Final Exam" | ||
+ | ==== Recitation 26 ==== |
Latest revision as of 02:47, 12 December 2008
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Introduction and Document Distance
Lecture 1, Introduction and Document Distance
- Document Distance (docdist{1,2,3,4}.py)
- Readings: CLRS Chapters 1,2,3
Recitation 1
- (R01, R02)
docdist_profiling.py
- (R06) Recitation01 Notes
Lecture 2, Document Distance, Mergesort
- Document Distance (docdist{5,6}.py)
-
mergesort.py
code from class - Readings:
- CLRS Chapter 11, Sections 1-2; CLRS Chapter 4
- Python Cost Model
Recitation 2 : maximum sum contiguous subarray problem
- Jon Bentley's column on the maximum sum contiguous vector problem discussed in class
- (R01, R02) Rec 02 warmup
- (R01, R02)
maxsumsubarray.py
- (R06) Recitation02 Notes
Binary Search Trees
Lecture 3, Binary Search Trees
-
runway.py
code from class - Readings: CLRS Chapter 10; Chapter 12, Sections 1-3
Recitation 3
- (R01, R02) Rec 03
- (R01, R02)
BSTobjects.py
implements BSTs as python objects -
BSTlists.py
implementation extending the one shown in lecture - (R06) Recitation03 Notes
Lecture 4 : AVL trees (Balanced BSTs)
Recitation 4
- AVL applet
- Another AVL applet
- (R03, R04)
AVL template
- (R01, R02) Rec 04
- (R06) Recitation04 Notes
Hashing
Lecture 5 : Hashing I
Readings: CLRS 11.1-11.3
Recitation 5
- (R01, R02) Rec 05
Lecture 6 : Hashing II
Readings: CLRS 17, 32.2
Recitation 6
- (R01, R02, R05) Rec 06
Lecture 7 : Hashing III
Readings: CLRS 11.4, 11.3.3, 11.5
Recitation 7
- short cuckoo hashing reference
- (R01, R02) Rec 07
- (R03, R04) Jayant's Problems from Rec 07
Sorting
Lecture 8 : Insertion, Merge, and Heap Sort
Recitation 8
- (R01, R02)
- (R03, R04) Jayant's Problems from Rec 08
- (R06) Recitation08 Notes
Lecture 9 : more heaps(heapsort, building), priority queues
Recitation 9
- (R1, R2)
- notes
- merging k-lists code (i have not verified the validity of this code)
- merging k-lists in more depth
- (R03, R04) Jayant's Problems from Rec 09
Lecture 10 : Decision tree - lower bounds on sorting, counting sort
Recitation 10
- (R1, R2)
- (R03, R04) Jayant's Problems from Rec 10
Lecture 11 : Radix sort
Quiz 1 Review (Recitation 11)
Searching
Lecture 12 : Intro to Searching, Graphs, small Rubiks problem
Rectation 12 (canceled)
Lecture 13 : Graph Searching : BFS, DFS
Recitation 13
- (R1, R2) notes
Lecture 14 : Graph Searching II : DAGs, topological sort
Recitation 14
- (R1, R2) notes
Shortest Paths
Lecture 15 : Intro Shortest Paths : weighted graphs & general structure
Recitation 15
- (R1, R2, R5) notes
Lecture 16 : Shortest Paths II : Bellman-Ford
Recitation 16
- (R1, R2) notes
Lecture 17 : Shortest Paths III : Dijkstra
Recitation 17
- (R1, R2) notes
Lecture 18 : Shortest Paths IV : further improvements
Dynamic Programming
Lecture 19 : Dynamic Programming I : Introduction
Recitation 19 : Quiz review
- review packet
- see quiz prep
Lecture 20 : Dynamic Programming II : Longest Common Subsequence
Recitation 20
- The 0-1 Knapsack problem
Lecture 21 : Dynamic Programming III : Image Resizing, Matrix Chain Multiplication
Recitation 21
Lecture 22 : Dynamic Programming IV
Recitation 22
Computability Theory
Lecture 23 : Computability I : Reductions
Recitation 23
Numerics
Lecture 24 : Numerics I : Linear Equations and Least Squares
Recitation 24
Lecture 25 : Numerics II : Givens Rotation
Recitation 25
Beyond 6.006
Lecture 26 : Beyond 6.006
- a.k.a. "Things You Don't Have To Know For The Final Exam"